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benchmarking.

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Why Your AI Agent Passed Once But Failed 19 Times

ThinkingBox reveals agents pass single attempts but fail on repeat. 67% of failures look clean. The gap between capability and consistency is the real problem.

Making AI Evaluations Reproducible: AISI and EvalEval's Open Infrastructure

How AISI and EvalEval are standardizing AI evaluation reporting through shared schemas and open platforms to improve reproducibility and research reliability.

ASR Models Are Gaming Benchmarks, and We Finally Have Proof

Speech recognition models are optimizing for benchmarks rather than real-world accuracy. New research reveals how top performers memorize dataset-specific patterns instead of transcribing what they ac
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